Machine Learning Geoscientist

Halliburton Energy Services; Abingdon; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading multinational energy company based in Abingdon is seeking a Machine Learning Geoscientist to join their geoscience research team. The ideal candidate will apply machine learning to geoscience challenges, requiring strong coding skills and an understanding of geoscience domains. This entry-level role offers opportunities for innovation in the energy sector and involves collaboration with experts across disciplines.

Qualifications

• Minimum of 4 years related work experience or completion of a PhD.
• In-depth understanding of geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
• Experience working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).

Responsibilities

• Apply theories and principles to research and development of new products.
• Communicate with technical clients on research findings.
• Design and implement AI/ML algorithms for geological interpretation.

Skills

Strong python programming skills

Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

Excellent communication and teamwork skills

Education

Honors degree (2:1 or above) in geoscience

Postgraduate qualification in geoscience

PhD in related field

Tools

AI/ML algorithms

Job description

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

Machine Learning Geoscientist

Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges? Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you’ll help shape the future of subsurface interpretation and modelling.

Key Responsibilities

Under general supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients.

Required Qualifications & Skills

• Honors degree (2:1 or above) and postgraduate qualification in geoscience.
• Minimum of 4 years related work experience, or completion of a PhD.
• In-depth understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
• Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).
• Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent communication and teamwork skills in a collaborative R&D environment.

AI / ML Implementation

• Design and implement AI/ML algorithms to automate and enhance geological interpretation.
• Develop AI/ML algorithms to improve geological realism in subsurface models.
• Validate predictive models using blind test datasets and real-world scenarios.
• Work closely with colleagues from multiple disciplines to refine and enhance workflows.
• Stay current with AI/ML and geoscience advancements to drive innovation.
• Contribute to publications, patents, and technical presentations.
• Proven application of AI/ML in geoscience projects.
• Experience in the energy sector.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation

Location

97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom

Requisition Number: 204376
Experience Level:Entry-Level
Job Family:Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time:Full Time

Additional Locations for this position

Compensation Information:

Compensation is competitive and commensurate with experience.

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